By the end of this chapter, you will be able to:
In this chapter, we will have a look at different data comparison methods.
Unsupervised learning is concerned with analyzing the structure of data to draw useful conclusions. In this chapter, we will examine methods that enable us to use the structure of data to compare datasets. The major methods we will look at are hash functions, analytic signatures, and latent variable models.
Imagine that you want to send an R script to your ...